NSF Student Travel Grant for the 2022 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)

NSF 学生旅费资助 2022 年 ACM SIGKDD 知识发现和数据挖掘会议 (KDD 2022)

• 批准号: 2223561
• 负责人: Yue Ning
• 金额: $ 2.5万
• 依托单位: Stevens Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2223561&HistoricalAwards=false
• 关键词: NSF; Student; Travel; Grant; 2022

This grant provides support for 25 U.S.-based graduate students to participate in the 28th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2022), which will be held in Washington D.C. from August 14 -18, 2022. KDD is an annual conference that presents the world's premier research in data mining. In the past, the total number of KDD participants has been in excess of 3000. The conference covers topics in the data mining lifecycle, including algorithms, software and systems, and applications. The conference will also focus on related areas such as artificial intelligence, machine learning, data management, and information retrieval. The selection committee will select recipients of the support based on merit and need and place particular emphasis on diversity in the selection process.As an interdisciplinary conference, KDD brings together researchers and practitioners from academia, industry, and governments who work on all aspects of data mining and data science problems. The conference is highly competitive and focuses on training and mentoring students. It includes a technical program with regular peer-reviewed papers in the form of oral and poster presentations, as well as panel discussions and invited talks by leading experts in academia and industry. Besides the technical program, the conference features activities such as workshops, tutorials, panels, posters, project showcases. These will provide a comprehensive multi-facet learning experience to students at all levels. The award will be advertised and the results will be announced at the KDD 2022 website (https://www.kdd.org/kdd2022/) as well as various data mining mailing lists.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该赠款为25名美国研究生提供了支持，他们将参加第28届ACM SIGKDD知识发现与数据挖掘会议（KDD 2022），该会议将于华盛顿特区于2022年8月14日至1822年在华盛顿特区举行。KDD是一场年度会议，在数据挖掘中呈现全球主要研究。过去，KDD参与者的总数已超过3000。会议涵盖了数据挖掘生命周期的主题，包括算法，软件和系统以及应用程序。会议还将集中在相关领域，例如人工智能，机器学习，数据管理和信息检索。选拔委员会将根据优点和需求选择支持者，并特别强调选择过程中的多样性。作为跨学科会议，KDD将研究人员和从业人员汇集了来自学术界，工业界和政府的研究人员和从业人员，他们从事数据挖掘和数据科学问题的各个方面。会议具有很高的竞争力，专注于培训和指导学生。它包括一项技术计划，以口头和海报演示的形式进行定期进行同行评审的论文，以及小组讨论和学术界和行业领先专家的邀请演讲。除了技术计划外，会议还提供活动，例如研讨会，教程，面板，海报，项目展示。这些将为各级学生提供全面的多面学习经验。 The award will be advertised and the results will be announced at the KDD 2022 website (https://www.kdd.org/kdd2022/) as well as various data mining mailing lists.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.